Dynamics and predictors of cognitive impairment along the disease course in multiple sclerosis

Background: the evolution and predictors of cognitive impairment (CI) in multiple sclerosis (MS) are poorly understood. We aimed to define the temporal dynamics of cognition throughout the disease course and identify clinical and neuroimaging measures that predict CI. (2) Methods: This paper feature...

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Autores: López-Soley, Elisabet, Martínez-Heras, Eloy, Andorrà, Magí, Solanes, Aleix, Radua, Joaquim, Montejo, Carmen, Alba-Arbalat, Salut, Solà-Valls, Núria, Pulido Valdeolivas, Irene, Sepúlveda, Maria, Romero-Pinel, Lucía, Munteis Olivas, Elvira, Martínez Rodríguez, José Enrique, Blanco Morgado, Yolanda, Martínez Lapiscina, Elena H., Villoslada, Pablo, Saiz, Albert, Solana, Elisabeth, Llufriu, Sara
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/54030
Acceso en línea:http://hdl.handle.net/10230/54030
http://dx.doi.org/10.3390/jpm11111107
Access Level:acceso abierto
Palabra clave:Cognition
Cognitive impairment
Longitudinal
Multiple sclerosis
Neuroimaging
Ppredictors
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spelling Dynamics and predictors of cognitive impairment along the disease course in multiple sclerosisLópez-Soley, ElisabetMartínez-Heras, EloyAndorrà, MagíSolanes, AleixRadua, JoaquimMontejo, CarmenAlba-Arbalat, SalutSolà-Valls, NúriaPulido Valdeolivas, IreneSepúlveda, MariaRomero-Pinel, LucíaMunteis Olivas, ElviraMartínez Rodríguez, José EnriqueBlanco Morgado, YolandaMartínez Lapiscina, Elena H.Villoslada, PabloSaiz, AlbertSolana, ElisabethLlufriu, SaraCognitionCognitive impairmentLongitudinalMultiple sclerosisNeuroimagingPpredictorsBackground: the evolution and predictors of cognitive impairment (CI) in multiple sclerosis (MS) are poorly understood. We aimed to define the temporal dynamics of cognition throughout the disease course and identify clinical and neuroimaging measures that predict CI. (2) Methods: This paper features a longitudinal study with 212 patients who underwent several cognitive examinations at different time points. Dynamics of cognition were assessed using mixed-effects linear spline models. Machine learning techniques were used to identify which baseline demographic, clinical, and neuroimaging measures best predicted CI. (3) Results: In the first 5 years of MS, we detected an increase in the z-scores of global cognition, verbal memory, and information processing speed, which was followed by a decline in global cognition and memory (p < 0.05) between years 5 and 15. From 15 to 30 years of disease onset, cognitive decline continued, affecting global cognition and verbal memory. The baseline measures that best predicted CI were education, disease severity, lesion burden, and hippocampus and anterior cingulate cortex volume. (4) Conclusions: In MS, cognition deteriorates 5 years after disease onset, declining steadily over the next 25 years and more markedly affecting verbal memory. Education, disease severity, lesion burden, and volume of limbic structures predict future CI and may be helpful when identifying at-risk patients.MDPI202220222021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/54030http://dx.doi.org/10.3390/jpm11111107reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésCopyright © 2021 by Lopez-Soley E, Martinez-Heras E, Andorra M, Solanes A, Radua J, Montejo C. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/540302026-06-12T07:21:37Z
dc.title.none.fl_str_mv Dynamics and predictors of cognitive impairment along the disease course in multiple sclerosis
title Dynamics and predictors of cognitive impairment along the disease course in multiple sclerosis
spellingShingle Dynamics and predictors of cognitive impairment along the disease course in multiple sclerosis
López-Soley, Elisabet
Cognition
Cognitive impairment
Longitudinal
Multiple sclerosis
Neuroimaging
Ppredictors
title_short Dynamics and predictors of cognitive impairment along the disease course in multiple sclerosis
title_full Dynamics and predictors of cognitive impairment along the disease course in multiple sclerosis
title_fullStr Dynamics and predictors of cognitive impairment along the disease course in multiple sclerosis
title_full_unstemmed Dynamics and predictors of cognitive impairment along the disease course in multiple sclerosis
title_sort Dynamics and predictors of cognitive impairment along the disease course in multiple sclerosis
dc.creator.none.fl_str_mv López-Soley, Elisabet
Martínez-Heras, Eloy
Andorrà, Magí
Solanes, Aleix
Radua, Joaquim
Montejo, Carmen
Alba-Arbalat, Salut
Solà-Valls, Núria
Pulido Valdeolivas, Irene
Sepúlveda, Maria
Romero-Pinel, Lucía
Munteis Olivas, Elvira
Martínez Rodríguez, José Enrique
Blanco Morgado, Yolanda
Martínez Lapiscina, Elena H.
Villoslada, Pablo
Saiz, Albert
Solana, Elisabeth
Llufriu, Sara
author López-Soley, Elisabet
author_facet López-Soley, Elisabet
Martínez-Heras, Eloy
Andorrà, Magí
Solanes, Aleix
Radua, Joaquim
Montejo, Carmen
Alba-Arbalat, Salut
Solà-Valls, Núria
Pulido Valdeolivas, Irene
Sepúlveda, Maria
Romero-Pinel, Lucía
Munteis Olivas, Elvira
Martínez Rodríguez, José Enrique
Blanco Morgado, Yolanda
Martínez Lapiscina, Elena H.
Villoslada, Pablo
Saiz, Albert
Solana, Elisabeth
Llufriu, Sara
author_role author
author2 Martínez-Heras, Eloy
Andorrà, Magí
Solanes, Aleix
Radua, Joaquim
Montejo, Carmen
Alba-Arbalat, Salut
Solà-Valls, Núria
Pulido Valdeolivas, Irene
Sepúlveda, Maria
Romero-Pinel, Lucía
Munteis Olivas, Elvira
Martínez Rodríguez, José Enrique
Blanco Morgado, Yolanda
Martínez Lapiscina, Elena H.
Villoslada, Pablo
Saiz, Albert
Solana, Elisabeth
Llufriu, Sara
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Cognition
Cognitive impairment
Longitudinal
Multiple sclerosis
Neuroimaging
Ppredictors
topic Cognition
Cognitive impairment
Longitudinal
Multiple sclerosis
Neuroimaging
Ppredictors
description Background: the evolution and predictors of cognitive impairment (CI) in multiple sclerosis (MS) are poorly understood. We aimed to define the temporal dynamics of cognition throughout the disease course and identify clinical and neuroimaging measures that predict CI. (2) Methods: This paper features a longitudinal study with 212 patients who underwent several cognitive examinations at different time points. Dynamics of cognition were assessed using mixed-effects linear spline models. Machine learning techniques were used to identify which baseline demographic, clinical, and neuroimaging measures best predicted CI. (3) Results: In the first 5 years of MS, we detected an increase in the z-scores of global cognition, verbal memory, and information processing speed, which was followed by a decline in global cognition and memory (p < 0.05) between years 5 and 15. From 15 to 30 years of disease onset, cognitive decline continued, affecting global cognition and verbal memory. The baseline measures that best predicted CI were education, disease severity, lesion burden, and hippocampus and anterior cingulate cortex volume. (4) Conclusions: In MS, cognition deteriorates 5 years after disease onset, declining steadily over the next 25 years and more markedly affecting verbal memory. Education, disease severity, lesion burden, and volume of limbic structures predict future CI and may be helpful when identifying at-risk patients.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/54030
http://dx.doi.org/10.3390/jpm11111107
url http://hdl.handle.net/10230/54030
http://dx.doi.org/10.3390/jpm11111107
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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